Overview

Dataset statistics

Number of variables19
Number of observations2413
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory360.5 KiB
Average record size in memory153.0 B

Variable types

DateTime1
TimeSeries15
Boolean1
Numeric2

Timeseries statistics

Number of series15
Time series length2413
Starting point2010-01-26 00:00:00
Ending point2019-08-29 00:00:00
Period1 day, 10 hours and 50 minutes
2026-02-05T23:23:27.151187image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:27.552600image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Alerts

repaired? has constant value "False"Constant
AD is highly overall correlated with EMA and 7 other fieldsHigh correlation
ATR is highly overall correlated with NATR and 2 other fieldsHigh correlation
CMO is highly overall correlated with ROC and 1 other fieldsHigh correlation
EMA is highly overall correlated with AD and 6 other fieldsHigh correlation
KAMA is highly overall correlated with AD and 6 other fieldsHigh correlation
MA is highly overall correlated with AD and 6 other fieldsHigh correlation
MidPrice is highly overall correlated with AD and 6 other fieldsHigh correlation
NATR is highly overall correlated with ATR and 1 other fieldsHigh correlation
OBV is highly overall correlated with AD and 1 other fieldsHigh correlation
ROC is highly overall correlated with CMO and 1 other fieldsHigh correlation
TRANGE is highly overall correlated with ATR and 1 other fieldsHigh correlation
TSF is highly overall correlated with AD and 6 other fieldsHigh correlation
WILLR is highly overall correlated with CMO and 1 other fieldsHigh correlation
WMA is highly overall correlated with AD and 6 other fieldsHigh correlation
close is highly overall correlated with AD and 6 other fieldsHigh correlation
close is non stationaryNon stationary
MA is non stationaryNon stationary
EMA is non stationaryNon stationary
KAMA is non stationaryNon stationary
WMA is non stationaryNon stationary
MidPrice is non stationaryNon stationary
AD is non stationaryNon stationary
OBV is non stationaryNon stationary
NATR is non stationaryNon stationary
ATR is non stationaryNon stationary
TSF is non stationaryNon stationary
close is seasonalSeasonal
MA is seasonalSeasonal
EMA is seasonalSeasonal
KAMA is seasonalSeasonal
WMA is seasonalSeasonal
MidPrice is seasonalSeasonal
AD is seasonalSeasonal
OBV is seasonalSeasonal
NATR is seasonalSeasonal
ATR is seasonalSeasonal
Date has unique valuesUnique
EMA has unique valuesUnique
KAMA has unique valuesUnique
WMA has unique valuesUnique
NATR has unique valuesUnique
ATR has unique valuesUnique
TSF has unique valuesUnique
BOP has 258 (10.7%) zerosZeros
WILLR has 43 (1.8%) zerosZeros

Reproduction

Analysis started2026-02-05 23:22:56.528295
Analysis finished2026-02-05 23:23:26.734613
Duration30.21 seconds
Software versionydata-profiling vv4.18.1
Download configurationconfig.json

Variables

Date
Date

Unique 

Distinct2413
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size37.7 KiB
Minimum2010-01-26 00:00:00
Maximum2019-08-29 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2026-02-05T23:23:27.809238image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:27.930919image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

close
Numeric time series

High correlation  Non stationary  Seasonal 

Distinct1857
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1343.2683
Minimum1050.8
Maximum1888.7
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:23:28.077490image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1050.8
5-th percentile1118.48
Q11223.7
median1290.2
Q31408.6
95-th percentile1720.32
Maximum1888.7
Range837.8999
Interquartile range (IQR)184.90002

Descriptive statistics

Standard deviation179.86444
Coefficient of variation (CV)0.13390061
Kurtosis0.044816901
Mean1343.2683
Median Absolute Deviation (MAD)79.099976
Skewness0.9833146
Sum3241306.4
Variance32351.218
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.2930004785
2026-02-05T23:23:28.209453image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:23:28.568329image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-05T23:23:29.709463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1273.6999516
 
0.2%
1313.6999515
 
0.2%
1265.5999764
 
0.2%
13194
 
0.2%
1229.3000494
 
0.2%
1290.5999764
 
0.2%
1293.3000494
 
0.2%
12444
 
0.2%
1253.8000494
 
0.2%
1386.8000494
 
0.2%
Other values (1847)2370
98.2%
ValueCountFrequency (%)
1050.8000491
< 0.1%
1052.1999511
< 0.1%
1054.1999511
< 0.1%
1056.1999511
< 0.1%
1060.0999761
< 0.1%
1060.3000491
< 0.1%
1061.6999511
< 0.1%
1062.4000241
< 0.1%
1062.9000241
< 0.1%
1063.8000491
< 0.1%
ValueCountFrequency (%)
1888.6999511
< 0.1%
1873.6999511
< 0.1%
1869.9000241
< 0.1%
1858.3000491
< 0.1%
1856.4000241
< 0.1%
1854.4000241
< 0.1%
1848.9000241
< 0.1%
1828.51
< 0.1%
1826.8000491
< 0.1%
1826.6999511
< 0.1%
2026-02-05T23:23:28.334494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

repaired?
Boolean

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
False
2413 
ValueCountFrequency (%)
False2413
100.0%
2026-02-05T23:23:30.371023image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

MA
Numeric time series

High correlation  Non stationary  Seasonal 

Distinct2386
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1342.4967
Minimum1066.77
Maximum1838.65
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:23:30.479290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1066.77
5-th percentile1117.584
Q11223.79
median1291.52
Q31399.05
95-th percentile1719.812
Maximum1838.65
Range771.87999
Interquartile range (IQR)175.25999

Descriptive statistics

Standard deviation179.09792
Coefficient of variation (CV)0.1334066
Kurtosis0.014794703
Mean1342.4967
Median Absolute Deviation (MAD)79.320007
Skewness0.98544882
Sum3239444.4
Variance32076.063
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.4706686356
2026-02-05T23:23:30.625755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:23:31.000227image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-05T23:23:32.160012image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1138.220022
 
0.1%
1197.7400022
 
0.1%
1070.9200072
 
0.1%
1259.810012
 
0.1%
1255.960012
 
0.1%
1067.4200072
 
0.1%
1236.8599982
 
0.1%
1279.0000122
 
0.1%
1203.8799932
 
0.1%
1398.3499882
 
0.1%
Other values (2376)2393
99.2%
ValueCountFrequency (%)
1066.7700071
< 0.1%
1067.4200072
0.1%
1067.4800171
< 0.1%
1068.3700071
< 0.1%
1068.71
< 0.1%
1068.8700071
< 0.1%
1068.9300171
< 0.1%
1068.9599981
< 0.1%
1069.6400021
< 0.1%
1069.8700071
< 0.1%
ValueCountFrequency (%)
1838.651
< 0.1%
1838.3300051
< 0.1%
1834.8099981
< 0.1%
1833.3300051
< 0.1%
1833.2299931
< 0.1%
1831.9400021
< 0.1%
1823.5699951
< 0.1%
1822.210011
< 0.1%
1819.8299931
< 0.1%
1817.951
< 0.1%
2026-02-05T23:23:30.756901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

EMA
Numeric time series

High correlation  Non stationary  Seasonal  Unique 

Distinct2413
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1342.5124
Minimum1066.7509
Maximum1835.3699
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:23:32.890705image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1066.7509
5-th percentile1117.7855
Q11223.6657
median1291.7884
Q31398.039
95-th percentile1719.0542
Maximum1835.3699
Range768.61902
Interquartile range (IQR)174.37334

Descriptive statistics

Standard deviation178.67856
Coefficient of variation (CV)0.13309267
Kurtosis-0.0066902725
Mean1342.5124
Median Absolute Deviation (MAD)78.24526
Skewness0.98433773
Sum3239482.4
Variance31926.028
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3213466738
2026-02-05T23:23:33.038795image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:23:33.414118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-05T23:23:34.399215image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1111.4576791
 
< 0.1%
1106.5381061
 
< 0.1%
1102.3675371
 
< 0.1%
1098.8461661
 
< 0.1%
1099.8377811
 
< 0.1%
1103.0309161
 
< 0.1%
1104.5525721
 
< 0.1%
1096.8884731
 
< 0.1%
1088.7632871
 
< 0.1%
1084.5699531
 
< 0.1%
Other values (2403)2403
99.6%
ValueCountFrequency (%)
1066.7508561
< 0.1%
1067.6741931
< 0.1%
1067.873281
< 0.1%
1068.0018031
< 0.1%
1068.5987131
< 0.1%
1069.7807611
< 0.1%
1069.9779731
< 0.1%
1070.2607081
< 0.1%
1070.4428611
< 0.1%
1070.4520621
< 0.1%
ValueCountFrequency (%)
1835.3698731
< 0.1%
1830.7389911
< 0.1%
1830.6965061
< 0.1%
1830.022821
< 0.1%
1828.8368531
< 0.1%
1827.9244151
< 0.1%
1825.4290581
< 0.1%
1819.6846981
< 0.1%
1818.5965011
< 0.1%
1818.3056571
< 0.1%
2026-02-05T23:23:33.170164image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

KAMA
Numeric time series

High correlation  Non stationary  Seasonal  Unique 

Distinct2413
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1343.3726
Minimum1071.6528
Maximum1818.3011
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:23:35.123852image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1071.6528
5-th percentile1112.1588
Q11221.5274
median1292.7483
Q31402.4225
95-th percentile1720.6648
Maximum1818.3011
Range746.64826
Interquartile range (IQR)180.89505

Descriptive statistics

Standard deviation180.43667
Coefficient of variation (CV)0.13431618
Kurtosis-0.034753362
Mean1343.3726
Median Absolute Deviation (MAD)78.651599
Skewness0.97554106
Sum3241558.1
Variance32557.392
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3173105606
2026-02-05T23:23:35.468570image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:23:35.844622image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-05T23:23:36.828676image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1120.6544041
 
< 0.1%
1117.1369871
 
< 0.1%
1112.3747011
 
< 0.1%
1106.7503071
 
< 0.1%
1106.6396911
 
< 0.1%
1107.021121
 
< 0.1%
1107.0430321
 
< 0.1%
1104.1093721
 
< 0.1%
1100.9844341
 
< 0.1%
1099.5670371
 
< 0.1%
Other values (2403)2403
99.6%
ValueCountFrequency (%)
1071.6528171
< 0.1%
1071.760361
< 0.1%
1071.8025671
< 0.1%
1071.8050121
< 0.1%
1071.8241381
< 0.1%
1071.9016291
< 0.1%
1071.9141461
< 0.1%
1071.9374321
< 0.1%
1071.9474141
< 0.1%
1071.9555721
< 0.1%
ValueCountFrequency (%)
1818.3010761
< 0.1%
1818.2730241
< 0.1%
1818.1513271
< 0.1%
1818.0629781
< 0.1%
1817.0296151
< 0.1%
1816.9870541
< 0.1%
1813.9894551
< 0.1%
1813.9309281
< 0.1%
1813.7287541
< 0.1%
1813.6691611
< 0.1%
2026-02-05T23:23:35.600992image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

WMA
Numeric time series

High correlation  Non stationary  Seasonal  Unique 

Distinct2413
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1342.7435
Minimum1063.5255
Maximum1843.5218
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:23:37.556336image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1063.5255
5-th percentile1116.3702
Q11224.2273
median1291.2055
Q31402.4073
95-th percentile1718.8349
Maximum1843.5218
Range779.99636
Interquartile range (IQR)178.17997

Descriptive statistics

Standard deviation179.21029
Coefficient of variation (CV)0.13346577
Kurtosis0.017275525
Mean1342.7435
Median Absolute Deviation (MAD)78.90728
Skewness0.98397237
Sum3240040.1
Variance32116.33
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3016014954
2026-02-05T23:23:37.701278image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:23:38.230649image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-05T23:23:39.219653image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1108.9181641
 
< 0.1%
1102.8999891
 
< 0.1%
1097.5454411
 
< 0.1%
1093.0418081
 
< 0.1%
1093.4945471
 
< 0.1%
1096.7981891
 
< 0.1%
1099.4163751
 
< 0.1%
1093.1418351
 
< 0.1%
1085.7454611
 
< 0.1%
1081.4763611
 
< 0.1%
Other values (2403)2403
99.6%
ValueCountFrequency (%)
1063.5254531
< 0.1%
1064.5763741
< 0.1%
1066.7490881
< 0.1%
1067.2545681
< 0.1%
1067.4618161
< 0.1%
1068.3818181
< 0.1%
1068.538191
< 0.1%
1068.5491061
< 0.1%
1069.0127331
< 0.1%
1069.5727291
< 0.1%
ValueCountFrequency (%)
1843.5218151
< 0.1%
1839.2800031
< 0.1%
1837.8236481
< 0.1%
1837.5527191
< 0.1%
1835.0691031
< 0.1%
1830.8054491
< 0.1%
1830.1236221
< 0.1%
1824.190921
< 0.1%
1823.3727321
< 0.1%
1821.7018071
< 0.1%
2026-02-05T23:23:37.990057image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

MidPrice
Numeric time series

High correlation  Non stationary  Seasonal 

Distinct1404
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1342.0322
Minimum1064.55
Maximum1852.2
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:23:39.954450image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1064.55
5-th percentile1119.39
Q11223.15
median1292.05
Q31400.3
95-th percentile1715.78
Maximum1852.2
Range787.65002
Interquartile range (IQR)177.14996

Descriptive statistics

Standard deviation178.09136
Coefficient of variation (CV)0.13270275
Kurtosis0.020384129
Mean1342.0322
Median Absolute Deviation (MAD)79.499939
Skewness0.98245446
Sum3238323.6
Variance31716.534
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.2790865189
2026-02-05T23:23:40.101599image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:23:40.645040image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-05T23:23:41.632703image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1239.95001210
 
0.4%
1308.20001210
 
0.4%
1067.59
 
0.4%
1659.758
 
0.3%
1225.2999888
 
0.3%
13268
 
0.3%
1322.7999888
 
0.3%
1318.8999637
 
0.3%
1252.2999887
 
0.3%
1201.1999517
 
0.3%
Other values (1394)2331
96.6%
ValueCountFrequency (%)
1064.5499881
 
< 0.1%
1066.2000122
 
0.1%
1066.251
 
< 0.1%
10671
 
< 0.1%
1067.59
0.4%
1068.252
 
0.1%
1068.51
 
< 0.1%
1069.6500241
 
< 0.1%
1071.752
 
0.1%
1074.6500244
0.2%
ValueCountFrequency (%)
1852.2000121
 
< 0.1%
1847.3499762
 
0.1%
1843.7000121
 
< 0.1%
1840.0499883
0.1%
1824.9000242
 
0.1%
1816.5500492
 
0.1%
1809.4500123
0.1%
1808.3000497
0.3%
1807.5499881
 
< 0.1%
1806.1000371
 
< 0.1%
2026-02-05T23:23:40.232584image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

BOP
Real number (ℝ)

Zeros 

Distinct1977
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0026300197
Minimum-2.7037707
Maximum2.7627087
Zeros258
Zeros (%)10.7%
Negative1080
Negative (%)44.8%
Memory size37.7 KiB
2026-02-05T23:23:42.331701image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2.7037707
5-th percentile-0.95038841
Q1-0.52571847
median0
Q30.51075336
95-th percentile0.93799358
Maximum2.7627087
Range5.4664794
Interquartile range (IQR)1.0364718

Descriptive statistics

Standard deviation0.60142026
Coefficient of variation (CV)-228.67519
Kurtosis-0.63687161
Mean-0.0026300197
Median Absolute Deviation (MAD)0.52128122
Skewness0.040387014
Sum-6.3462374
Variance0.36170632
MonotonicityNot monotonic
2026-02-05T23:23:42.451262image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0258
 
10.7%
-179
 
3.3%
174
 
3.1%
-0.54
 
0.2%
-0.66666666673
 
0.1%
0.24999788072
 
0.1%
0.52
 
0.1%
0.52380952382
 
0.1%
0.78947481142
 
0.1%
-0.20688639142
 
0.1%
Other values (1967)1985
82.3%
ValueCountFrequency (%)
-2.7037706851
 
< 0.1%
-1.7407541371
 
< 0.1%
-1.2394788511
 
< 0.1%
-1.1430066271
 
< 0.1%
-1.0520828041
 
< 0.1%
-179
3.3%
-0.99742016671
 
< 0.1%
-0.9953282491
 
< 0.1%
-0.99459591431
 
< 0.1%
-0.99390393681
 
< 0.1%
ValueCountFrequency (%)
2.7627087081
 
< 0.1%
2.7500127161
 
< 0.1%
1.6327673491
 
< 0.1%
1.2631384521
 
< 0.1%
1.0583979331
 
< 0.1%
1.0430137171
 
< 0.1%
174
3.1%
0.99651652421
 
< 0.1%
0.99617948941
 
< 0.1%
0.99615478521
 
< 0.1%

CMO
Numeric time series

High correlation 

Distinct2410
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6498844
Minimum-73.147026
Maximum80.217411
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:23:42.604249image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-73.147026
5-th percentile-48.085723
Q1-17.900114
median2.0380615
Q323.839999
95-th percentile52.724304
Maximum80.217411
Range153.36444
Interquartile range (IQR)41.740113

Descriptive statistics

Standard deviation29.989305
Coefficient of variation (CV)11.317213
Kurtosis-0.51110769
Mean2.6498844
Median Absolute Deviation (MAD)20.726036
Skewness-0.0010215556
Sum6394.171
Variance899.35842
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value8.075690876 × 10-18
2026-02-05T23:23:42.756585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:23:43.292044image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-05T23:23:44.282950image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
32.565613512
 
0.1%
-32.947674962
 
0.1%
-21.500955532
 
0.1%
23.714815911
 
< 0.1%
33.03742311
 
< 0.1%
35.723019831
 
< 0.1%
44.261049951
 
< 0.1%
45.144237331
 
< 0.1%
0.86313447891
 
< 0.1%
45.304793231
 
< 0.1%
Other values (2400)2400
99.5%
ValueCountFrequency (%)
-73.147025691
< 0.1%
-70.795306891
< 0.1%
-69.818961521
< 0.1%
-68.806409991
< 0.1%
-68.743650261
< 0.1%
-67.080172481
< 0.1%
-66.992859581
< 0.1%
-66.493095991
< 0.1%
-66.282531711
< 0.1%
-66.141021531
< 0.1%
ValueCountFrequency (%)
80.217411441
< 0.1%
78.551546841
< 0.1%
77.79128721
< 0.1%
76.202726991
< 0.1%
76.150757461
< 0.1%
76.046773221
< 0.1%
73.383234271
< 0.1%
72.447394091
< 0.1%
72.226940911
< 0.1%
71.123796931
< 0.1%
2026-02-05T23:23:43.052253image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

MFI
Numeric time series

Distinct2412
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.105707
Minimum-1.0555854 × 10-13
Maximum100
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:23:45.014448image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.0555854 × 10-13
5-th percentile1.5357721
Q123.866219
median44.822142
Q370.370529
95-th percentile98.727091
Maximum100
Range100
Interquartile range (IQR)46.50431

Descriptive statistics

Standard deviation29.721105
Coefficient of variation (CV)0.63094488
Kurtosis-1.0295375
Mean47.105707
Median Absolute Deviation (MAD)22.866262
Skewness0.1479458
Sum113666.07
Variance883.34407
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value1.171313321 × 10-13
2026-02-05T23:23:45.157432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:23:45.674068image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-05T23:23:46.659841image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
31.635827042
 
0.1%
74.127355681
 
< 0.1%
74.170952471
 
< 0.1%
74.226471741
 
< 0.1%
74.260537061
 
< 0.1%
74.307546011
 
< 0.1%
74.366452331
 
< 0.1%
74.3834251
 
< 0.1%
74.199257461
 
< 0.1%
48.98768011
 
< 0.1%
Other values (2402)2402
99.5%
ValueCountFrequency (%)
-1.055585375 × 10-131
< 0.1%
-8.486371619 × 10-141
< 0.1%
0.019787391561
< 0.1%
0.020094224411
< 0.1%
0.021970898191
< 0.1%
0.022009341871
< 0.1%
0.02239488311
< 0.1%
0.022489537691
< 0.1%
0.024150298511
< 0.1%
0.035429027161
< 0.1%
ValueCountFrequency (%)
1001
< 0.1%
1001
< 0.1%
1001
< 0.1%
99.989248641
< 0.1%
99.989209621
< 0.1%
99.988913511
< 0.1%
99.988757661
< 0.1%
99.988674521
< 0.1%
99.988443351
< 0.1%
99.98803351
< 0.1%
2026-02-05T23:23:45.283137image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ROC
Numeric time series

High correlation 

Distinct2411
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17276313
Minimum-14.962502
Maximum12.136097
Zeros2
Zeros (%)0.1%
Memory size37.7 KiB
2026-02-05T23:23:47.391731image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-14.962502
5-th percentile-4.8687529
Q1-1.638931
median0.24511586
Q32.1196613
95-th percentile5.0246293
Maximum12.136097
Range27.098599
Interquartile range (IQR)3.7585923

Descriptive statistics

Standard deviation3.0806652
Coefficient of variation (CV)17.831729
Kurtosis1.268804
Mean0.17276313
Median Absolute Deviation (MAD)1.8783054
Skewness-0.28913016
Sum416.87742
Variance9.490498
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value4.59855029 × 10-16
2026-02-05T23:23:47.530901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:23:48.074069image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-05T23:23:49.060778image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
02
 
0.1%
0.022796599242
 
0.1%
2.5144457481
 
< 0.1%
4.3684984751
 
< 0.1%
5.8164419791
 
< 0.1%
5.8281135921
 
< 0.1%
6.0978647521
 
< 0.1%
7.1334041391
 
< 0.1%
4.225467741
 
< 0.1%
3.6477603491
 
< 0.1%
Other values (2401)2401
99.5%
ValueCountFrequency (%)
-14.962501531
< 0.1%
-12.06445661
< 0.1%
-12.011714541
< 0.1%
-11.954792061
< 0.1%
-11.791640891
< 0.1%
-11.785482181
< 0.1%
-11.653978131
< 0.1%
-11.432015541
< 0.1%
-11.362761241
< 0.1%
-11.196569231
< 0.1%
ValueCountFrequency (%)
12.136097141
< 0.1%
11.859093921
< 0.1%
10.990679731
< 0.1%
10.437376041
< 0.1%
10.297216651
< 0.1%
9.8236975031
< 0.1%
9.4484722661
< 0.1%
8.5571592611
< 0.1%
8.4311303271
< 0.1%
8.4044837321
< 0.1%
2026-02-05T23:23:47.656263image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

WILLR
Numeric time series

High correlation  Zeros 

Distinct2322
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-47.577534
Minimum-100
Maximum8.8327657
Zeros43
Zeros (%)1.8%
Memory size37.7 KiB
2026-02-05T23:23:49.790921image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile-96.031728
Q1-77.264587
median-46.099291
Q3-16.464696
95-th percentile-2.3719126
Maximum8.8327657
Range108.83277
Interquartile range (IQR)60.799891

Descriptive statistics

Standard deviation32.08618
Coefficient of variation (CV)-0.67439772
Kurtosis-1.38513
Mean-47.577534
Median Absolute Deviation (MAD)30.360209
Skewness-0.077394496
Sum-114804.59
Variance1029.523
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value5.406583162 × 10-24
2026-02-05T23:23:49.935833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:23:50.298252image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-05T23:23:51.449410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
-043
 
1.8%
-10040
 
1.7%
-85.955094712
 
0.1%
-1002
 
0.1%
-23.088163492
 
0.1%
-79.054898872
 
0.1%
-75.510204082
 
0.1%
-84.375007012
 
0.1%
-12.184726332
 
0.1%
-25.303271992
 
0.1%
Other values (2312)2314
95.9%
ValueCountFrequency (%)
-1002
 
0.1%
-10040
1.7%
-1001
 
< 0.1%
-99.850559721
 
< 0.1%
-99.839008661
 
< 0.1%
-99.835566271
 
< 0.1%
-99.591214271
 
< 0.1%
-99.572916671
 
< 0.1%
-99.56412951
 
< 0.1%
-99.542096551
 
< 0.1%
ValueCountFrequency (%)
8.8327656621
 
< 0.1%
1.8109160931
 
< 0.1%
-043
1.8%
-0.11296676381
 
< 0.1%
-0.16662597661
 
< 0.1%
-0.17508866671
 
< 0.1%
-0.17981228391
 
< 0.1%
-0.22697830971
 
< 0.1%
-0.23089023831
 
< 0.1%
-0.31418725461
 
< 0.1%
2026-02-05T23:23:50.062193image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

AD
Numeric time series

High correlation  Non stationary  Seasonal 

Distinct2259
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-454972.01
Minimum-1234611.5
Maximum602582.62
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:23:52.188856image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1234611.5
5-th percentile-1060785
Q1-809235.75
median-410791.28
Q3-43030.143
95-th percentile130215.73
Maximum602582.62
Range1837194.1
Interquartile range (IQR)766205.61

Descriptive statistics

Standard deviation419402.29
Coefficient of variation (CV)-0.92181999
Kurtosis-0.8375401
Mean-454972.01
Median Absolute Deviation (MAD)386374.77
Skewness0.042134435
Sum-1.0978475 × 109
Variance1.7589828 × 1011
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.4852503218
2026-02-05T23:23:52.336674image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:23:52.710602image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-05T23:23:53.878591image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
-283378.10188
 
0.3%
-435654.2856
 
0.2%
-406646.41755
 
0.2%
-413454.47184
 
0.2%
-3775.0758834
 
0.2%
-502.36464784
 
0.2%
-669727.774
 
0.2%
-495.27778363
 
0.1%
-613110.35933
 
0.1%
-669731.773
 
0.1%
Other values (2249)2369
98.2%
ValueCountFrequency (%)
-1234611.5291
< 0.1%
-1231919.1761
< 0.1%
-1230671.8131
< 0.1%
-1230380.1541
< 0.1%
-1230376.421
< 0.1%
-1230128.8721
< 0.1%
-1230115.9971
< 0.1%
-1229927.0861
< 0.1%
-1229614.8421
< 0.1%
-1229505.4321
< 0.1%
ValueCountFrequency (%)
602582.61861
< 0.1%
602414.22261
< 0.1%
602361.17191
< 0.1%
602341.17441
< 0.1%
602314.64121
< 0.1%
602214.54711
< 0.1%
601905.25811
< 0.1%
601888.07121
< 0.1%
601859.59811
< 0.1%
601784.59811
< 0.1%
2026-02-05T23:23:52.464005image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

OBV
Numeric time series

High correlation  Non stationary  Seasonal 

Distinct2319
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-896031.31
Minimum-2560065
Maximum249125
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:23:54.603206image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2560065
5-th percentile-2282005.2
Q1-1567058
median-600265
Q3-178768
95-th percentile213877.2
Maximum249125
Range2809190
Interquartile range (IQR)1388290

Descriptive statistics

Standard deviation814215.22
Coefficient of variation (CV)-0.90869059
Kurtosis-1.1914409
Mean-896031.31
Median Absolute Deviation (MAD)604409
Skewness-0.3770388
Sum-2.1621235 × 109
Variance6.6294642 × 1011
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.7614085774
2026-02-05T23:23:54.744697image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:23:55.113755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-05T23:23:56.256137image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
-25371696
 
0.2%
-22822324
 
0.2%
-25587433
 
0.1%
-25587483
 
0.1%
-2292753
 
0.1%
-18788533
 
0.1%
-22218823
 
0.1%
-19888553
 
0.1%
-3768432
 
0.1%
-4449542
 
0.1%
Other values (2309)2381
98.7%
ValueCountFrequency (%)
-25600651
< 0.1%
-25600561
< 0.1%
-25599521
< 0.1%
-25598491
< 0.1%
-25598151
< 0.1%
-25597281
< 0.1%
-25595481
< 0.1%
-25593531
< 0.1%
-25592771
< 0.1%
-25589781
< 0.1%
ValueCountFrequency (%)
2491251
< 0.1%
2490911
< 0.1%
2490481
< 0.1%
2490451
< 0.1%
2490192
0.1%
2490011
< 0.1%
2489821
< 0.1%
2489641
< 0.1%
2489551
< 0.1%
2489091
< 0.1%
2026-02-05T23:23:54.874299image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

NATR
Numeric time series

High correlation  Non stationary  Seasonal  Unique 

Distinct2413
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1825944
Minimum0.50183061
Maximum3.3283981
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:23:56.979263image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.50183061
5-th percentile0.66080245
Q10.87823114
median1.1233093
Q31.3814254
95-th percentile1.9323832
Maximum3.3283981
Range2.8265675
Interquartile range (IQR)0.50319424

Descriptive statistics

Standard deviation0.41661152
Coefficient of variation (CV)0.35228605
Kurtosis2.4774657
Mean1.1825944
Median Absolute Deviation (MAD)0.25050125
Skewness1.2748446
Sum2853.6004
Variance0.17356516
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.0006971886232
2026-02-05T23:23:57.121474image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:23:57.487179image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-05T23:23:58.637806image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.4614175091
 
< 0.1%
1.462848031
 
< 0.1%
1.5076769381
 
< 0.1%
1.508267241
 
< 0.1%
1.5708007271
 
< 0.1%
1.5584816481
 
< 0.1%
1.559732961
 
< 0.1%
1.867425241
 
< 0.1%
1.9090198941
 
< 0.1%
1.8922992891
 
< 0.1%
Other values (2403)2403
99.6%
ValueCountFrequency (%)
0.50183061131
< 0.1%
0.51547229271
< 0.1%
0.51746194231
< 0.1%
0.52288357981
< 0.1%
0.54037974721
< 0.1%
0.54354629561
< 0.1%
0.54356907361
< 0.1%
0.55413798041
< 0.1%
0.55581830371
< 0.1%
0.55736882651
< 0.1%
ValueCountFrequency (%)
3.3283981371
< 0.1%
3.2973362941
< 0.1%
3.1426837341
< 0.1%
3.1294392441
< 0.1%
3.1231140871
< 0.1%
3.0498946961
< 0.1%
3.02350741
< 0.1%
3.018984571
< 0.1%
2.9214454571
< 0.1%
2.8860986061
< 0.1%
2026-02-05T23:23:57.250883image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ATR
Numeric time series

High correlation  Non stationary  Seasonal  Unique 

Distinct2413
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.068052
Minimum6.4264427
Maximum54.425832
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:23:59.348407image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum6.4264427
5-th percentile8.3688195
Q111.328738
median14.843622
Q318.432843
95-th percentile29.429388
Maximum54.425832
Range47.999389
Interquartile range (IQR)7.1041049

Descriptive statistics

Standard deviation6.9353035
Coefficient of variation (CV)0.43162069
Kurtosis5.2800447
Mean16.068052
Median Absolute Deviation (MAD)3.5400047
Skewness1.8978187
Sum38772.209
Variance48.098434
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.004174345215
2026-02-05T23:23:59.481715image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:23:59.840074image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-05T23:24:00.989836image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
16.044903191
 
< 0.1%
15.863124391
 
< 0.1%
16.337186931
 
< 0.1%
16.334534211
 
< 0.1%
17.34635321
 
< 0.1%
17.414474311
 
< 0.1%
17.334872491
 
< 0.1%
19.83952621
 
< 0.1%
20.086706391
 
< 0.1%
20.166232591
 
< 0.1%
Other values (2403)2403
99.6%
ValueCountFrequency (%)
6.4264426861
< 0.1%
6.6054016931
< 0.1%
6.6135095161
< 0.1%
6.6594451441
< 0.1%
6.7345073861
< 0.1%
6.7910079541
< 0.1%
6.9476621451
< 0.1%
6.9837757231
< 0.1%
6.9959842381
< 0.1%
7.0441624121
< 0.1%
ValueCountFrequency (%)
54.425832061
< 0.1%
53.004740341
< 0.1%
50.744912721
< 0.1%
50.581128021
< 0.1%
50.453908081
< 0.1%
50.027424181
< 0.1%
49.435872331
< 0.1%
48.992914651
< 0.1%
48.379136771
< 0.1%
48.122912441
< 0.1%
2026-02-05T23:23:59.602056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

TRANGE
Real number (ℝ)

High correlation 

Distinct648
Distinct (%)26.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.075674
Minimum0.099975586
Maximum163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.7 KiB
2026-02-05T23:24:01.688849image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.099975586
5-th percentile3.7000244
Q18.3000488
median13.099976
Q320.299927
95-th percentile38.139966
Maximum163
Range162.90002
Interquartile range (IQR)11.999878

Descriptive statistics

Standard deviation12.478035
Coefficient of variation (CV)0.77620605
Kurtosis18.024959
Mean16.075674
Median Absolute Deviation (MAD)5.5
Skewness3.0330885
Sum38790.6
Variance155.70136
MonotonicityNot monotonic
2026-02-05T23:24:01.811146image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.518
 
0.7%
817
 
0.7%
917
 
0.7%
11.3000488316
 
0.7%
14.4000244116
 
0.7%
1016
 
0.7%
515
 
0.6%
11.515
 
0.6%
1415
 
0.6%
7.09997558615
 
0.6%
Other values (638)2253
93.4%
ValueCountFrequency (%)
0.099975585943
0.1%
0.19995117193
0.1%
0.30004882812
 
0.1%
0.39990234382
 
0.1%
0.59997558595
0.2%
0.69995117192
 
0.1%
0.80004882812
 
0.1%
0.89990234381
 
< 0.1%
0.90002441411
 
< 0.1%
13
0.1%
ValueCountFrequency (%)
1631
< 0.1%
121.40002441
< 0.1%
105.20007321
< 0.1%
102.89990231
< 0.1%
101.90002441
< 0.1%
99.400024411
< 0.1%
98.199951171
< 0.1%
94.099975591
< 0.1%
84.700073241
< 0.1%
84.51
< 0.1%

TSF
Numeric time series

High correlation  Non stationary  Unique 

Distinct2413
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1343.3814
Minimum1056.7846
Maximum1888.4583
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:24:01.955446image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1056.7846
5-th percentile1119.7978
Q11220.9286
median1291.6637
Q31409.5682
95-th percentile1720.4506
Maximum1888.4583
Range831.67364
Interquartile range (IQR)188.63955

Descriptive statistics

Standard deviation181.16143
Coefficient of variation (CV)0.1348548
Kurtosis0.088904567
Mean1343.3814
Median Absolute Deviation (MAD)82.639553
Skewness0.98090481
Sum3241579.3
Variance32819.464
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.409235386
2026-02-05T23:24:02.088067image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:24:02.447917image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-05T23:24:03.616256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1094.5450331
 
< 0.1%
1085.4252721
 
< 0.1%
1077.282411
 
< 0.1%
1071.4966951
 
< 0.1%
1075.8142881
 
< 0.1%
1081.5714451
 
< 0.1%
1087.3121181
 
< 0.1%
1080.9670681
 
< 0.1%
1072.1538641
 
< 0.1%
1071.4538431
 
< 0.1%
Other values (2403)2403
99.6%
ValueCountFrequency (%)
1056.7846091
< 0.1%
1057.5472571
< 0.1%
1057.9263811
< 0.1%
1057.9384581
< 0.1%
1058.3054961
< 0.1%
1058.9494371
< 0.1%
1060.772561
< 0.1%
1061.1384591
< 0.1%
1061.1824091
< 0.1%
1061.4439861
< 0.1%
ValueCountFrequency (%)
1888.4582521
< 0.1%
1875.1977941
< 0.1%
1864.2560381
< 0.1%
1863.530791
< 0.1%
1855.9879111
< 0.1%
1852.8483671
< 0.1%
1850.5263731
< 0.1%
1848.8956081
< 0.1%
1839.4857081
< 0.1%
1838.5296561
< 0.1%
2026-02-05T23:24:02.213768image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

Interactions

2026-02-05T23:23:25.149664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:01.043258image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:02.530912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:04.014580image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:05.493914image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:07.227306image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:08.708155image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:10.364098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:11.748352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:13.269086image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:14.812614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:16.200246image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:17.603394image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:19.285664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:20.708526image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:22.109062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:23.619614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:25.221432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:01.114228image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:02.610354image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:04.095099image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:05.575222image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:07.306448image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:08.790114image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:10.437337image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:11.829894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:13.344736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:14.887026image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:16.276272image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:17.689205image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:19.362259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:20.784924image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:22.182848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:23.703496image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:25.307235image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:01.194181image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:02.701733image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:04.183473image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:05.664576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:07.395829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:08.881119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:10.522533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:11.923119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:13.432699image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:14.973357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:16.364032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:17.783142image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:19.450578image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:20.872606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:22.265442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:23.797443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:25.386545image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:01.275242image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:02.788940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:04.272569image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:05.987185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:07.483930image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:08.971358image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:10.605726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:12.015408image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:13.518187image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:15.058144image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:16.450106image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:17.879842image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:19.537411image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:20.958361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:22.350524image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:23.890661image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:25.466106image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:01.354254image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:02.878303image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:04.360358image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:06.075024image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:07.573226image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:09.060151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:10.694021image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:12.112090image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:13.603728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:15.143727image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:16.537959image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:17.972962image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:19.625782image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:21.045434image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:22.435477image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:23.982492image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:25.546836image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:01.433471image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:02.966477image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:04.449234image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:06.164493image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:07.661576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:09.150471image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:10.778016image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:12.209617image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:13.688622image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:15.228877image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:16.623447image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:18.067371image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:19.712553image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:21.130643image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:22.520482image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:24.075895image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:25.626883image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:01.515476image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:03.056340image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:04.537745image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:06.262325image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:07.752273image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:09.239229image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:10.866227image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:12.304550image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:13.774946image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:15.315641image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:16.711680image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:18.160411image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:19.802026image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:21.217903image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:22.603443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:24.168358image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:25.701436image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:01.588699image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:03.139884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:04.623821image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:06.346602image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:07.836257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:09.325171image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:10.941531image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:12.389364image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:13.853723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:15.392541image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:16.788939image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:18.248386image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:19.881798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:21.296555image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:22.680427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:24.255632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:25.783537image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:01.833436image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:03.232915image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:04.716213image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:06.443411image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:07.929369image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:09.419784image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:11.028392image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:12.480193image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:13.940403image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:15.479074image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:16.874095image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:18.342888image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:19.971570image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:21.384498image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:22.766473image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:24.348385image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:25.859353image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:01.907693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:03.316934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:04.802353image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:06.527577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:08.013469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:09.506974image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:11.105316image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:12.563844image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:14.016650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:15.557415image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:16.953551image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:18.431302image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:20.051834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:21.463707image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:22.841953image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:24.434433image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:25.932738image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:01.989370image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:03.402877image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:04.886502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:06.613180image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:08.098550image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:09.592646image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:11.182889image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:12.650183image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:14.096501image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:15.635257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:17.032146image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:18.516544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:20.132984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:21.541880image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:23.074748image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:24.520226image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:26.007317image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:02.063863image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:03.488142image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:04.972551image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:06.700393image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:08.183338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:09.682251image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:11.263029image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:12.736509image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:14.175352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:15.715772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:17.110802image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:18.757337image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:20.213950image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:21.621929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:23.150918image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:24.613957image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:26.090744image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:02.154027image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:03.581390image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:05.064434image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:06.793458image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:08.276869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:09.775170image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:11.349326image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:12.832930image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:14.261092image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:15.803189image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:17.199744image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:18.851307image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:20.303241image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:21.707877image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:23.237576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:24.707888image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:26.167322image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:02.231352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:03.669382image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:05.151540image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:06.880357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:08.365391image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:09.864048image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:11.431326image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:12.920980image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:14.496994image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:15.883636image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:17.281897image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:18.940319image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:20.382595image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:21.792704image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:23.315580image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:24.804227image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:26.244321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:02.307851image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:03.755728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:05.238143image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:06.966457image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:08.452523image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:09.949762image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:11.510213image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:13.009737image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:14.575976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:15.962399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:17.362549image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:19.026214image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:20.463435image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:21.870099image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:23.392767image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:24.890931image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:26.315954image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:02.379497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:03.841977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:05.320242image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:07.047652image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:08.534546image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:10.031935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:11.586870image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:13.093347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:14.651984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:16.038789image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:17.441536image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:19.109989image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:20.542367image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:21.948100image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:23.464479image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:24.975046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:26.397807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:02.461257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:03.935518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:05.414108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:07.146832image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:08.627973image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:10.283002image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:11.672379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:13.187436image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:14.737438image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:16.124500image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:17.528531image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:19.204075image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:20.630764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:22.034361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:23.548216image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:23:25.065451image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2026-02-05T23:24:04.302702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ADATRBOPCMOEMAKAMAMAMFIMidPriceNATROBVROCTRANGETSFWILLRWMAclose
AD1.0000.3090.0520.1640.5770.5780.5740.1610.5710.1090.5360.0970.1780.5760.1440.5770.581
ATR0.3091.0000.0210.0070.4440.4460.4450.0940.4420.9250.5700.0040.5760.4360.0090.4430.437
BOP0.0520.0211.0000.3290.0270.0240.0190.0650.021-0.0040.0460.2570.0250.0380.3870.0280.082
CMO0.1640.0070.3291.0000.0920.0800.0760.3760.073-0.0630.0610.8670.0400.1930.9120.1160.206
EMA0.5770.4440.0270.0921.0000.9980.9990.0920.9980.1150.3380.0460.2510.9880.0500.9990.989
KAMA0.5780.4460.0240.0800.9981.0000.9970.0860.9960.1190.3470.0360.2510.9860.0370.9970.986
MA0.5740.4450.0190.0760.9990.9971.0000.0910.9990.1170.3370.0280.2510.9860.0300.9980.985
MFI0.1610.0940.0650.3760.0920.0860.0911.0000.0870.0530.1510.3010.0580.1460.3230.1050.133
MidPrice0.5710.4420.0210.0730.9980.9960.9990.0871.0000.1150.3330.0200.2490.9830.0230.9970.984
NATR0.1090.925-0.004-0.0630.1150.1190.1170.0530.1151.0000.482-0.0450.5450.106-0.0520.1130.105
OBV0.5360.5700.0460.0610.3380.3470.3370.1510.3330.4821.0000.0330.2940.3340.0760.3380.337
ROC0.0970.0040.2570.8670.0460.0360.0280.3010.020-0.0450.0331.0000.0380.1570.8700.0710.153
TRANGE0.1780.5760.0250.0400.2510.2510.2510.0580.2490.5450.2940.0381.0000.2510.0230.2510.250
TSF0.5760.4360.0380.1930.9880.9860.9860.1460.9830.1060.3340.1570.2511.0000.1450.9930.992
WILLR0.1440.0090.3870.9120.0500.0370.0300.3230.023-0.0520.0760.8700.0230.1451.0000.0700.166
WMA0.5770.4430.0280.1160.9990.9970.9980.1050.9970.1130.3380.0710.2510.9930.0701.0000.991
close0.5810.4370.0820.2060.9890.9860.9850.1330.9840.1050.3370.1530.2500.9920.1660.9911.000

Missing values

2026-02-05T23:23:26.525981image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2026-02-05T23:23:26.662209image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Datecloserepaired?MAEMAKAMAWMAMidPriceBOPCMOMFIROCWILLRADOBVNATRATRTRANGETSF
2010-01-262010-01-261097.900024False1117.4999881111.4576791120.6544041108.9181641120.0999760.000000-14.69978364.341830-4.588505-80.946248502.508257662.01.46141816.0449032.7000731094.545033
2010-01-272010-01-271084.400024False1113.0499881106.5381061117.1369871102.8999891114.4500120.000000-25.7475340.175818-3.941890-98.209686502.508257-206032.01.46284815.86312413.5000001085.425272
2010-01-282010-01-281083.599976False1107.7699831102.3675371112.3747011097.5454411109.549988-0.186670-26.3754280.118218-4.646256-88.181790-7141.076639-307200.01.50767716.33718722.5000001077.282410
2010-01-292010-01-291083.000000False1101.8099851098.8461661106.7503071093.0418081106.449951-0.122699-26.8905660.096377-5.216172-88.863581-6649.136970-318656.01.50826716.33453416.3000491071.496695
2010-02-012010-02-011104.300049False1099.2299931099.8377811106.6396911093.4945471106.4499510.7639360.5558070.806533-2.282977-62.976074-4679.497626-316204.01.57080117.34635330.5000001075.814288
2010-02-022010-02-021117.400024False1097.0000001103.0309161107.0211201096.7981891103.0999760.00000013.3617791.845782-1.956649-39.202161-1753.334679-312878.01.55848217.41447418.3000491081.571445
2010-02-032010-02-031111.400024False1096.9099981104.5525721107.0430321099.4163751099.049988-0.2699396.3895702.109863-0.080916-47.455248-2313.275232-313731.01.55973317.33487216.3000491087.312118
2010-02-042010-02-041062.400024False1092.8800051096.8884731104.1093721093.1418351091.950012-0.920697-31.7180602.075298-3.654659-95.786832-3551.714714-315157.01.86742519.83952652.4000241080.967068
2010-02-052010-02-051052.199951False1089.1800051088.7632871100.9844341085.7454611085.0499880.000000-36.9422182.063641-3.396989-92.592593-4332.438207-317113.01.90902020.08670623.3000491072.153864
2010-02-082010-02-081065.699951False1086.2300051084.5699531099.5670371081.4763611085.0499880.000000-23.0928142.217049-2.693572-76.651494-4499.933583-316564.01.89229920.16623321.2000731071.453843
Datecloserepaired?MAEMAKAMAWMAMidPriceBOPCMOMFIROCWILLRADOBVNATRATRTRANGETSF
2019-08-162019-08-161512.500000False1499.4099981495.6627551501.1367321506.9254511485.900024-0.60803848.63699191.2959004.627838-14.482777-210132.389109-1737756.01.33014120.11837719.9000241539.456047
2019-08-192019-08-191500.400024False1502.9900021496.5240761501.0805011507.1054551494.549988-0.46258229.15716443.8954222.444357-23.754789-210128.204740-1737961.01.33840020.08134819.5999761536.559345
2019-08-202019-08-201504.599976False1506.2099981497.9924221501.3220221507.3981781502.2999880.82558132.56561459.3187312.186902-20.536436-209811.740105-1737475.01.28015819.2612508.5999761531.898895
2019-08-212019-08-211504.599976False1505.9399901499.1937951501.3486921507.1054471507.549988-0.04839532.56561476.637869-0.179133-27.043446-209506.904508-1737475.01.21815118.3283006.1999511523.736256
2019-08-222019-08-221497.300049False1505.9000001498.8494781501.3297151505.5345481507.5499880.62859220.16021264.207443-0.026701-37.472501-208820.904508-1738161.01.18817617.79055910.7999271515.071433
2019-08-232019-08-231526.599976False1508.9000001503.8950231503.1316551509.2981801507.5499880.97067443.66910364.2708272.004544-6.512950-207895.558508-1737178.01.24168218.95551734.0999761516.414278
2019-08-262019-08-261526.300049False1511.0000001507.9686641504.2633871512.4618251513.500000-0.88946943.18955763.7504551.395071-24.251036-208159.242719-1737512.01.24213418.95869519.0000001516.998912
2019-08-272019-08-271541.000000False1514.8800051513.9743611507.9635991517.9163711518.1000370.77206051.92771460.3017562.582882-3.859136-208020.095112-1737346.01.21564418.73306815.7999271526.142876
2019-08-282019-08-281537.800049False1517.0700071518.3063051509.4812191522.0836511518.100037-1.00000046.47829870.7823691.444688-9.228173-210776.095112-1740102.01.14602417.6235603.1999511531.573651
2019-08-292019-08-291526.500000False1517.7600101519.7960671509.6906781523.7981961521.100037-0.37036928.40675665.4552130.454068-34.756120-211152.983650-1740806.01.21101718.48616829.7000731532.260458